Data Engineer - Insurance

Data Engineer – Insurance – London Hybrid – up to £80,000

Looking for a founding data engineer to join an insurance scale‑up in London that specialises in non‑standard home insurance. The role supports the future development of the Data Engineering capability, alongside supporting Pricing and Data Science teams to create impactful results by improving data quality and pipelines that feed into the pricing platform.

In a nutshell, you will own the data engineering function and collaborate to improve and complete the migration onto Azure so that Pricing and Data Science can maximise their output.

• Own and own the data engineering function across the organisation.
• Collaborate and support Pricing and Data Science teams to improve data quality and data pipelines feeding into the pricing platform.
• Lead the migration of data solutions onto Azure, ensuring smooth transition and optimisation of performance.
• Design and build scalable data pipelines, ensuring data integrity and reliability.
• Maintain and optimise existing data infrastructure, including SSIS, SSRS, SSAS, and Azure Synapse.
• Implement and maintain data governance and security processes.
• Monitor and troubleshoot end‑to‑end data pipelines from ingestion to analytics.
• Provide technical guidance and mentorship to junior engineering staff.

• Experience in SQL and pdb, and production‑grade experience building data pipelines.
• Advanced Python skills – ability to write reusable code and automate processes.
• Knowledge of pricing and actuarial business area and its data requirements.
• Experience with Azure data ecosystem –‑Synapse, Data Factory, Data Lake, and related services.
• Solid understanding of data engineering best practices, including data modeling, staging, ETL/ELT, and data quality.
• Strong problem‑solving, communication, and collaboration skills.
• Full rights to work in the UK – not available for sponsorship.

• Salary range: £77,400 – £116,000 (depends on experience).
• Hybrid work in London Bridge office a few days a week.
• Optional compressed working week.
• Private health care, cash health plan, holiday buy & sell, career development opportunities and performance bonuses.
• Full EEO statement:
  We are committed to hiring and retaining a diverse workforce, encouraging individuals from all backgrounds and abilities.

Northrop Grumman is looking for a Big Data Systems Engineer who will design, implement and maintain scalable big data systems that support data science, machine learning and AI workloads. The role is centred in the UK Cyber & Intelligence business, with strong security and GDPR compliance expectations.

• Develop and maintain scripts for automating data processes and workflows.
• Troubleshoot and resolve technical issues related to big data systems, pipelines, and integrations.
• Conduct integration testing to ensure seamless integration of new tools into existing systems.
• Apply deep knowledge of Linux internals, TCP/IP and OSI models for performance optimisation.
• Manage and optimise data pipelines and orchestration tools such as NiFi and Airflow.
• Design scalable big data systems with security, GDPR compliance and privacy focus.
• Leverage hybrid cloud experience, managing on‑premise and AWS cloud resources effectively.
• Support data science and AI workloads using Jupyter, spaCy, Transformers, NLTK, Hive, Impala and Elasticsearch.
• Implement and support business intelligence and visualisation tools (Tableau, Kibana, Power BI).

• Strong troubleshooting skills & the ability to resolve complex technical issues.
• Experience with integration testing and seamless tool integration.
• Expertise in Linux internals, system administration and network protocols.
• Hands‑on experience with data pipeline tools such as NiFi and Airflow.
• Proven ability to design secure, GDPR‑compliant big data systems.
• Hybrid cloud experience with on‑premise & AWS environments.
• Familiarity with AI/ML tools such as Jupyter, spaCy, Transformers, NLTK.
• Experience with No
  
  SQL engines and platforms (Hive, Impala, Elasticsearch).
• Proficiency with Tableau, Kibana and Power BI.
• Excellent communication…